Items with Index Term: data envelopment analysis

Abbasian-Hosseini, S A (2015) Social and engineering aspects of construction site management using simulation and social network analysis. PhD thesis, North Carolina State University, USA.

Abbasian-Hosseini, S A; Hsiang, S M; Leming, M L and Liu, M (2014) From social network to data envelopment analysis: Identifying benchmarks at the site management level. Journal of Construction Engineering and Management, 140(8): 04014028, ISSN 0733-9364

Ahuja, Vanita (2007) It enhanced communication protocols for building project management by small and medium enterprises in the Indian construction industry. PhD thesis, Queensland University of Technology, Australia.

Al-Otaibi, S (2021) Assessing the impact of transport investment and railway accessibility on economic productivity. PhD thesis, Loughborough University, UK.

Ashuri, B; Wang, J; Shahandashti, M and Baek, M (2019) A data envelopment analysis (DEA) model for building energy benchmarking. Journal of Engineering, Design and Technology, 17(4), pp. 747-768. ISSN 1726-0531

Banihashemi, S A and Khalilzadeh, M (2021) Time-cost-quality-environmental impact trade-off resource-constrained project scheduling problem with DEA approach. Engineering, Construction and Architectural Management, 28(7), pp. 1979-2004. ISSN 0969-9988

Basílio, M d S B (2011) Infrastructure public-private partnerships risk factors and agents' participation. PhD thesis, Universidade Tecnica de Lisboa, Portugal.

Cariaga, I; El-Diraby, T and Osman, H (2007) Integrating value analysis and quality function deployment for evaluating design alternatives. Journal of Construction Engineering and Management, 133(10), pp. 761-770. ISSN 0733-9364

Chancellor, W; Abbott, M and Carson, C (2015) Factors promoting innovation and efficiency in the construction industry: A comparative study of New Zealand and Australia. Construction Economics and Building, 15(2), pp. 63-80. ISSN 2204-9029

Chancellor, W and Lu, W (2016) A regional and provincial productivity analysis of the Chinese construction industry: 1995 to 2012. Journal of Construction Engineering and Management, 142(11): 05016013, ISSN 0733-9364

Chau, K W; Poon, S W; Wang, Y S and Lu, L L (2005) Technological progress and the productive efficiency of construction firms in Hong Kong, 1981-2001. Journal of Construction Research, 6(2), pp. 195-207. ISSN 1609-9451

Chen, Y Q; Lu, H; Lu, W and Zhang, N (2010) Analysis of project delivery systems in Chinese construction industry with data envelopment analysis (DEA). Engineering, Construction and Architectural Management, 17(6), pp. 598-614. ISSN 0969-9988

Deng, F and Smyth, H (2014) Nature of firm performance in construction. Journal of Construction Engineering and Management, 140(2): 04013040, ISSN 0733-9364

Dhanshyam, M and Srivastava, S K (2023) Decision framework for efficient risk mitigation in BOT highway infrastructure service projects. Journal of Construction Engineering and Management, 149(9): 04023081, ISSN 0733-9364

Dharmapuri Tirumala, R; Dangol, N; Tiwari, P and Vaz-Serra, P (2021) Comparative analysis of outcomes under PPP and traditional modes of delivery: A study of schools in Melbourne. Construction Management and Economics, 39(11), pp. 894-911. ISSN 01446193

Dinh, T N; Kuo, K C; Lu, W M and Nguyen, D T (2023) The effect of quantitative easing on Asian construction firms' performance. International Journal of Construction Management, 23(1), pp. 38-47. ISSN 1562-3599

Dorrah, D H (2024) Development of integrated decision support framework for payment management and negotiation in construction projects. PhD thesis, University of Toronto, Canada.

Ekyalimpa, Ronald (2015) A distributed simulation approach for contractor company performance management in the construction industry. PhD thesis, University of Alberta, Canada.

El-Mashaleh, M S (2003) Firm performance and information technology utilization in the construction industry: An empirical study. PhD thesis, University of Florida, USA.

El-Mashaleh, M S; Hyari, K H; Bdour, A N and Rababeh, S M (2016) A multi-attribute decision-making model for construction enterprise resource planning system selection. International Journal of Construction Education and Research, 12(1), pp. 66-79. ISSN 1557-8771

Gao, H; Zhang, L and Gu, S (2026) Carbon emission efficiency measurement of construction enterprises based on the three-stage DEA-sbm model. Journal of Construction Engineering and Management, 152(4): 04026028, ISSN 0733-9364

Gao, J; Ren, H; Ma, X; Cai, W and Shi, Q (2019) A total energy efficiency evaluation framework based on embodied energy for the construction industry and the spatio-temporal evolution analysis. Engineering, Construction and Architectural Management, 26(8), pp. 1652-1671. ISSN 0969-9988

Hoang, V N; Raharjo, J P and Susilawati, C (2022) Meta-frontier efficiency analysis of real estate and construction firms in Indonesia. Construction Management and Economics, 40(10), pp. 770-780. ISSN 01446193

Horta, I M; Camanho, A S and Da Costa, J M (2010) Performance assessment of construction companies integrating key performance indicators and data envelopment analysis. Journal of Construction Engineering and Management, 136(5), pp. 581-594. ISSN 0733-9364

Hu, X; Hu, X; Cui, Q; Li, Y; Lemckert, C and Wei, A (2022) Spatial-temporal analysis for the business performance of construction consultancy services in China. Engineering, Construction and Architectural Management, 29(10), pp. 3997-4014. ISSN 0969-9988

Hu, X and Liu, C (2016) Profitability performance assessment in the Australian construction industry: A global relational two-stage DEA method. Construction Management and Economics, 34(3), pp. 147-159. ISSN 01446193

Hu, X and Liu, C (2017) Slacks-based data envelopment analysis for eco-efficiency assessment in the Australian construction industry. Construction Management and Economics, 35(11-12), pp. 693-706. ISSN 01446193

Hu, X and Liu, C (2018) Measuring efficiency, effectiveness and overall performance in the Chinese construction industry. Engineering, Construction and Architectural Management, 25(6), pp. 780-797. ISSN 0969-9988

Hu, Xiancun (2015) Construction industry performance measurement with carbon reduction. PhD thesis, Deakin University, Australia.

Huang, K; Jia, G; Liu, D and Ma, Y (2018) The transformation mechanism of work-related stress into unsafe behaviour in construction industry: Based on DEA method. In: Gorse, C and Neilson, C J (eds.) Proceedings of 34th Annual ARCOM Conference, 3-5 September 2018, Queen’s University, Belfast, UK.

Hung, C Y and Cheng, E W L (2014) Estimating contractors' efficiency with panel data: Comparison of the data envelopment analysis, Cobb-Douglas and translog production function methods. Construction Innovation, 14(3), pp. 274-291. ISSN 1471-4175

Inti, S (2016) A decision making approach for selection of sustainable pavements in Texas by integrating life cycle cost analysis (LCCA), life cycle assessment (LCA) of environmental and social impacts. PhD thesis, University of Texas at El Paso, USA.

Jonsson, J (1996) Construction site productivity measurements selection, application and evaluation of methods and measures. PhD thesis, Luleå University of Technology, Sweden.

Kang, L (2025) Examining the relationship between construction fatalities and the construction economy in China: A three-decade analysis. Engineering, Construction and Architectural Management, 32(8), pp. 5558-5577. ISSN 0969-9988

Kapelko, M and Abbott, M (2017) Productivity growth and business cycles: Case study of the Spanish construction industry. Journal of Construction Engineering and Management, 143(5): 05016026, ISSN 0733-9364

Kassim, Y; Underwood, J and Raphael, B (2009) Data envelopment analysis of it-enabled strategy for construction organisations. In: Dainty, A R J (ed.) Proceedings of 25th Annual ARCOM Conference, 7-9 September 2009, Nottingham, UK.

Kassim, Y H (2012) Information technology business value model for engineering and construction industry. PhD thesis, University of Salford, UK.

Ko, J H; Park, S H and Kim, D C (2015) Efficiency analysis of project management offices for large-scale information system projects: Insights for construction megaprojects. Construction Economics and Building, 15(3), pp. 34-47. ISSN 2204-9029

Langston, C (2013) The application of data envelopment analysis to the benchmarking of construction performance in Australian and American high-rise buildings. International Journal of Construction Management, 13(3), pp. 55-75. ISSN 1562-3599

Li, J; Chiang, Y H; Choi, T N Y and Man, K F (2013) Determinants of efficiency of contractors in Hong Kong and China: Panel data model analysis. Journal of Construction Engineering and Management, 139(9), pp. 1211-1223. ISSN 0733-9364

Li, Y; Lin, J; Cui, Z; Wang, C and Li, G (2021) Workforce productivity evaluation of the US construction industry from 2006 to 2016. Engineering, Construction and Architectural Management, 28(1), pp. 55-81. ISSN 0969-9988

Li, Y and Liu, C (2011) Construction capital productivity measurement using a data envelopment analysis. International Journal of Construction Management, 11(1), pp. 49-61. ISSN 1562-3599

Lin, C L and Huang, H M (2010) Improved baseline productivity analysis technique. Journal of Construction Engineering and Management, 136(3), pp. 367-376. ISSN 0733-9364

Liu, X X; Liu, H H; Yang, G L and Pan, J F (2023) Productivity assessment of the real estate industry in China: A dea-malmquist index. Engineering, Construction and Architectural Management, 30(3), pp. 1243-1270. ISSN 0969-9988

Luo, M; Fan, H Q and Liu, G (2020) Measuring regional differences of construction productive efficiency in China: A distance friction minimization approach. Engineering, Construction and Architectural Management, 27(4), pp. 952-974. ISSN 0969-9988

Mirzaei, M (2018) Cost-effectiveness of outsourcing public architectural/engineering projects in government agencies. PhD thesis, New York University Tandon School of Engineering, USA.

Mostafaeipour, A; Qolipour, M; Rezaei, M; Jahangiri, M; Goli, A and Sedaghat, A (2021) A novel integrated approach for ranking solar energy location planning: A case study. Journal of Engineering, Design and Technology, 19(3), pp. 698-720. ISSN 1726-0531

Mostafaeipour, A; Sadeghi, S; Jahangiri, M; Nematollahi, O and Rezaeian Sabbagh, A (2020) Investigation of accurate location planning for wind farm establishment: A case study. Journal of Engineering, Design and Technology, 18(4), pp. 821-845. ISSN 1726-0531

Myrtveit, I and Stensrud, E (2005) Identifying high performance construction projects. In: Khosrowshahi, F (ed.) Proceedings of 21st Annual ARCOM Conference, 7-9 September 2005, London, UK.

Noorizadeh, A; Peltokorpi, A and Avkiran, N K (2019) Supplier performance evaluation in construction projects: Challenges and possible solutions. Journal of Construction Engineering and Management, 145(4): 04019007, ISSN 0733-9364

Noorizadeh, A; Rashidi, K and Peltokorpi, A (2018) Categorizing suppliers for development investments in construction: Application of DEA and rfm concept. Construction Management and Economics, 36(9), pp. 487-506. ISSN 01446193

Ozbek, M E; de la Garza, J M and Triantis, K (2012) Efficiency measurement of the maintenance of paved lanes using data envelopment analysis. Construction Management and Economics, 30(11), pp. 995-1009. ISSN 1466433X

Ruddock, L (1994) Performance and efficiency measurement in local authority building organisations. PhD thesis, University of Salford, UK.

Rusydiana, A. S.; Uula, M. M. and Riani, R. (2026) Measuring the performance of climate action of OIC countries. International Journal of Disaster Resilience in the Built Environment, 17(2), pp. 277-296. ISSN 1759-5908

Shash, A A H (1988) A probabilistic model for U.S. Nuclear power construction times. PhD thesis, University of Texas at Austin, USA.

Tajani, F; Anelli, D; Di Liddo, F and Morano, P (2024) An innovative methodology for the assessment of the social discount rate: An application to the European states for ensuring the goals of equitable growth. Smart and Sustainable Built Environment, 13(5), pp. 1281-1309. ISSN 2046-6099

Tatari, O and Kucukvar, M (2012) Eco-efficiency of construction materials: Data envelopment analysis. Journal of Construction Engineering and Management, 138(6), pp. 733-741. ISSN 0733-9364

Tsolas, I E (2011) Modelling profitability and effectiveness of Greek-listed construction firms: An integrated DEA and ratio analysis. Construction Management and Economics, 29(8), pp. 795-807. ISSN 1466433X

Tsolas, I E (2013) Modeling profitability and stock market performance of listed construction firms on the athens exchange: Two-stage DEA approach. Journal of Construction Engineering and Management, 139(1), pp. 111-119. ISSN 0733-9364

Vyas, G S; Jha, K N and Patel, D A (2016) Enhancement of greenness of new construction using the DEA. In: Chan, P W and Neilson, C J (eds.) Proceedings of 32nd Annual ARCOM Conference, 5-7 September 2016, Manchester, UK.

Wakchaure, S S and Jha, K N (2011) Prioritization of bridges for maintenance planning using data envelopment analysis. Construction Management and Economics, 29(9), pp. 957-968. ISSN 1466433X

Wang, S.; Hu, X.; Wei, A.; Yang, W. and Cui, Q. (2026) The non-linear impact of industrial agglomeration on green total factor productivity in construction: Moderating role of construction consulting services. Engineering, Construction and Architectural Management, 33(15), pp. 458-480. ISSN 0969-9988

Wang, Y (1998) An analysis of the technical efficiency in Hong Kong's construction industry. PhD thesis, University of Hong Kong, Hong Kong.

Wang, Y S and Chau, K W (1997) An evaluation of the efficiency of construction industry in Hong Kong using the DEA approach. In: Stephenson, P (ed.) Proceedings of 13th Annual ARCOM Conference, 15-17 September 1997, Cambridge, UK.

Williams Jr., G H (2003) An evaluation of public construction contracting methods for the public building sector in Oregon using data envelopment analysis. PhD thesis, Portland State University, USA.

Wong, Y L P (2007) Facility management benchmarking: Measuring performances using multi-attribute decision tools. PhD thesis, Hong Kong Polytechnic University, Hong Kong.

Xue, X; Shen, Q; Wang, Y and Lu, J (2008) Measuring the productivity of the construction industry in China by using DEA-based malmquist productivity indices. Journal of Construction Engineering and Management, 134(1), pp. 64-71. ISSN 0733-9364

Yuan, F; Tang, M and Hong, J (2020) Efficiency estimation and reduction potential of the Chinese construction industry via SE-DEA and artificial neural network. Engineering, Construction and Architectural Management, 27(7), pp. 1533-1552. ISSN 0969-9988

Zhang, B; Wang, C; Ren, X Z and Xia, B (2026) Evaluating the research and development (R&D) efficiency of the Chinese construction industry. Engineering, Construction and Architectural Management, 33(1), pp. 552-577. ISSN 0969-9988

Zhou, X; Wang, Y; Zhang, Y and Liu, F (2024) Macro investigation on China's engineering insurance industry: Based on industrial organization theories. Engineering, Construction and Architectural Management, 31(7), pp. 2977-2994. ISSN 0969-9988

li, H; yu, L and Cheng, E W L (2005) A GIS-based site selection system for real estate projects. Construction Innovation, 5(4), pp. 231-241. ISSN 1471-4175